Physical AI — and the sciences around it.
Our research agenda centers on embodied intelligence: machines that perceive, move, and learn in the physical world. Around this flagship, we cultivate directions in the Life Sciences, Aerospace Engineering, and Mathematics.
Flagship · Physical AI
Robotics, perception, control, learning-based autonomy, and the hardware–software co-design that makes intelligent machines real. Our labs pair theoretical depth with hands-on platforms — from manipulators and mobile robots to autonomous aerial systems.
Life Sciences
Machine learning for biology and health: computational models of living systems, intelligent instrumentation, and data-driven discovery.
Aerospace Engineering
Guidance, navigation, and control; autonomous flight; and intelligent systems for air and space platforms.
Mathematics
Learning theory, optimization, dynamical systems, and the mathematical foundations of intelligence.
Selected projects.
Detailed project pages are on their way. Current activities span autonomous platforms, AI for the sciences, and foundational studies.
Coming soon
A first look at our Physical AI platforms and testbeds.
Coming soon
Cross-disciplinary work connecting AI with the life sciences.
Coming soon
Foundational research in mathematics and learning theory.